Journal of Electronic Science and Technology, Volume. 22, Issue 2, 100250(2024)
Data augmentation method for insulators based on Cycle-GAN
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Fig. 6. Example of converting glass insulators into composite insulators.
Fig. 7. Example of converting composite insulators into glass insulators.
Fig. 8. Example of converting ceramic insulators into glass insulators
Fig. 9. Example of converting glass insulators into ceramic insulators
Table 1. List of experimental equipment.
View tableView in ArticleTable 1. List of experimental equipment.
Device name Model number Quantity CPU i7-12700k 1 GPU RTX3080 12G 1 Mainboard ROG STRIX Z690-E 1 RAM DDR5 16G 2 Hard disk m2 Solid state drive 1T 1
Table 2. Comparison of sample conversion indicators of Cycle-GAN insulators based on the attention mechanism.
View tableView in ArticleTable 2. Comparison of sample conversion indicators of Cycle-GAN insulators based on the attention mechanism.
index Quest Cycle-GAN Distance GAN Ours PSNR Glass→Ceramic 18.224 12.139 24.543 Ceramic→Glass 18.190 11.940 23.939 Glass→Composite 17.935 211.940 23.446 Composite→Glass 17.990 12.7262 23.105 SSIM Glass→Ceramic 0.687 0.263 0.938 Ceramic→Glass 0.703 0.291 0.923 Glass→Composite 0.683 0.278 0.921 Composite→Glass 0.690 0.280 0.913
Table 3. Comparison of defect sample indicators based on background PSNR, SSIM, and FID.
View tableView in ArticleTable 3. Comparison of defect sample indicators based on background PSNR, SSIM, and FID.
Index DCGAN WGAN-GP Ours FID 25.33 18.78 12.54 PSNR 15.46 19.12 23.76 SSIM 0.58 0.67 0.92
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Run Ye, Azzedine Boukerche, Xiao-Song Yu, Cheng Zhang, Bin Yan, Xiao-Jia Zhou. Data augmentation method for insulators based on Cycle-GAN[J]. Journal of Electronic Science and Technology, 2024, 22(2): 100250
Paper Information
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Received: Jul. 13, 2023
Accepted: Apr. 9, 2024
Published Online: Aug. 8, 2024
The Author Email: Ye Run (rye@uestc.edu.cn)
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